Method and device for evaluating refraction of an eye of an individual using machine learning

A device for estimating refraction of an eye of an individual, said device for estimating refraction comprising:

• a plurality of light sources arranged to successively illuminate the eye of the individual;
• an image capturing device having an optical axis, the image capturing device being placed at a distance d from the eye of the individual, the image capturing device being arranged for capturing eccentric photorefraction images of the eye of said individual, each eccentric photorefraction image being associated to at least one light source of the plurality of light sources;
• and
• calculation circuitry configured to analyze the eccentric photorefraction images in order to determine at least one refraction parameter comprising a sphere value,
• wherein the calculation circuitry is further configured to analyze the eccentric photorefraction images by machine learning using at least one neural network configured to determine the at least one refraction parameter, said plurality of light sources being positioned at at least two different eccentric distances from the optical axis of the image capturing device and/or arranged along at least two different directions transverse to the optical axis of the image capturing device, and
• wherein the neural network is configured to determine the at least one refraction parameter based on the captured eccentric photorefraction images and based on a set of inputs representing at least the distance d, and a position of each light source of the plurality of light sources relatively to the image capturing device.